Research Engineer Intern

aiDrive is an inherently scalable self-driving full-stack software. Utilizing an economical vision-first redundant sensor setup aiDrive offers a safe autonomous experience. Relying on powerful artificial intelligence and robust sensor fusion it is prepared for self-driving in any environment, climate, or driving culture. Its simulator-tested and real-world-proven autonomous valet parking and highway autopilot capabilities are under constant public road testing in Hungary and in the US.Our automated driving SW stack aiDrive will be deployed to millions of production vehicles in the upcoming years, thanks to our recently announced OEM partnership. In the course of this development journey, you will be able to impact and witness the creation of state-of-the-art automated driving applications on highways, interurban and urban areas, as well as parking situations, using the latest automotive sensor technologies and advanced machine learning algorithms. All this will be supported by fleet data at scale, paired with our unique data pipeline and infrastructure as provided by aiMotive’s aiData.As a Research Engineer Intern in the aiDrive department, you will take part in prototyping new solutions, improving and benchmarking existing solutions related to static environment mapping, ie. detecting lanes, stop-lines, traffic lights, traffic signs, etc. You will work on solutions deployed in different environments like driving on a highway, city and you will see your code running in real cars on multiple continents.Job Summary Research, develop, implement, and test algorithms for static environment detection in self-driving carsSpecial focus on:Analysis of input and output data distribution and benchmarkingDevelop new metrics for various self-driving featuresImplement visualizations for detection errorsMaintain existing benchmarks and metricsKey Requirements Ongoing (active/passive) full-time university studies for at least one more year in Robotics, Computer Science, Physics, Mathematics or related fieldStrong mathematical skills (linear algebra and probability distributions)Programming in Python, working in LinuxAbility to work independently and systematicallyIntermediate level of English knowledgeAt least 20-25 working hours/weekPrecise, reliable, quality focused attitudeIndependent and proactive attitudeConsidered as a plusC++ programming and software design skillsExperience in machine learning and data analysisExperience in roboticsExperience in computer graphics, physics simulation or other mathematics-intensive applicationsWhat We Offer Possibility to gain valuable work experience at the forefront of the automotive R&D sectorCompetitive student salaryInspiring and supportive working environmentTeambuilding events and other benefits for studentsFlexible working hours and Home Office possibilityLong-term job opportunityPossibility of an immediate startIn-service training opportunityFitness opportunitiesFree lunch every workday, nearby at one of the best all-you-can-eat restaurants in Budapest, or delivered by Wolt for Work